Job description
At WHOOP, we are on a mission to unlock human performance and extend healthspan. The Governance, Risk, and Compliance (GRC) team helps ensure technology and cybersecurity risks are identified, assessed, and communicated clearly across the organization.
WHOOP is seeking a Governance, Risk, and Compliance Analyst II, to lead the day-to-day operation and support the ongoing risk management program at GRC in a fast-paced, high-growth environment. This role is responsible for operations of GRC initiatives - including but not limited to structured cybersecurity and AI risk assessments, exceptions management,
SDLC reviews and security compliance process ownership. The role will partner closely with Legal, Security, Product, and other teams to advance compliance objectives, reduce enterprise
risk, and strengthen operational resilience.
The ideal candidate combines strong analytical thinking, critical risk mind-set, familiarity with AI governance and has the ability to communicate complex risk scenarios clearly to both technical and non-technical stakeholders.
RESPONSIBILITIES:
● Lead governance, risk assessment, and compliance activities specific to AI/ML systems,
LLM integrations, AI agents, and retrieval-augmented workflows
● Partner with the Senior Security Engineer, AI/ML to integrate risk assessment findings into
GRC frameworks and translate technical risk into governance requirements
● Develop, maintain, and refine AI risk and compliance controls aligned with relevant
frameworks, including ISO/IEC 42001, NIST Cybersecurity Framework, NIST AI Risk
Management Framework, EU AI Act, GDPR, and other applicable standards
● Execute risk assessments for new AI vendors, LLM platforms, AI APIs, and enterprise AI
tools, including third-party risk scoring, control mapping, and remediation tracking
● Manage the vendor risk assessment lifecycle for AI/ML related suppliers, ensuring
documented controls, evidence collection, and follow-up on remediation items
● Support audit activities, capturing evidence and coordinating cross-functional
stakeholders for internal and external compliance reviews involving AI systems
● Develop and maintain AI-specific GRC policies, standards, and procedures that map to AI
risk domains, explainability requirements, and compliance obligations
● Facilitate AI risk and compliance reporting to leadership, including risk dashboards, trend
analysis, control effectiveness measurements, and key metrics
● Monitor emerging AI governance requirements, guidance, and best practices, translating
them into GRC program updates and compliance recommendations
● Support security incident documentation and post-incident analysis for AI system events,
coordinating with Legal and Security teams to ensure appropriate governance response
LLM integrations, AI agents, and retrieval-augmented workflows
● Partner with the Senior Security Engineer, AI/ML to integrate risk assessment findings into
GRC frameworks and translate technical risk into governance requirements
● Develop, maintain, and refine AI risk and compliance controls aligned with relevant
frameworks, including ISO/IEC 42001, NIST Cybersecurity Framework, NIST AI Risk
Management Framework, EU AI Act, GDPR, and other applicable standards
● Execute risk assessments for new AI vendors, LLM platforms, AI APIs, and enterprise AI
tools, including third-party risk scoring, control mapping, and remediation tracking
● Manage the vendor risk assessment lifecycle for AI/ML related suppliers, ensuring
documented controls, evidence collection, and follow-up on remediation items
● Support audit activities, capturing evidence and coordinating cross-functional
stakeholders for internal and external compliance reviews involving AI systems
● Develop and maintain AI-specific GRC policies, standards, and procedures that map to AI
risk domains, explainability requirements, and compliance obligations
● Facilitate AI risk and compliance reporting to leadership, including risk dashboards, trend
analysis, control effectiveness measurements, and key metrics
● Monitor emerging AI governance requirements, guidance, and best practices, translating
them into GRC program updates and compliance recommendations
● Support security incident documentation and post-incident analysis for AI system events,
coordinating with Legal and Security teams to ensure appropriate governance response
QUALIFICATIONS:
● 6+ years of experience in Governance, Risk & Compliance, including risk assessment,
policy development, audit coordination, and third-party risk management
● Demonstrated experience performing governance or risk assessments for AI/ML systems,
including LLM integrations, model pipelines, AI agents, or data-driven algorithmic systems
● Experience translating AI-specific risks (i.e., data poisoning, prompt injection, model
misuse, data leakage, explainability gaps) into documented control requirements and
governance standards
● Hands-on experience conducting third-party risk assessments for AI vendors, LLM
platforms, AI APIs, or machine learning service providers
● Experience mapping AI-related risks and controls to frameworks such as ISO/IEC 42001,
NIST CSF, NIST AI RMF, ISO/IEC 42001, GDPR, PCI DSS, or similar standards
● Strong understanding of data governance concepts relevant to AI systems, including
training data lineage, data retention, model output handling, and human oversight
requirements
● Experience supporting regulatory readiness or compliance efforts related to AI systems
● Proven ability to collaborate with engineering and security teams to validate control
implementation and remediation
● Bachelor’s degree in Information Security, Computer Science, Business Risk, Compliance,
or a related field,
policy development, audit coordination, and third-party risk management
● Demonstrated experience performing governance or risk assessments for AI/ML systems,
including LLM integrations, model pipelines, AI agents, or data-driven algorithmic systems
● Experience translating AI-specific risks (i.e., data poisoning, prompt injection, model
misuse, data leakage, explainability gaps) into documented control requirements and
governance standards
● Hands-on experience conducting third-party risk assessments for AI vendors, LLM
platforms, AI APIs, or machine learning service providers
● Experience mapping AI-related risks and controls to frameworks such as ISO/IEC 42001,
NIST CSF, NIST AI RMF, ISO/IEC 42001, GDPR, PCI DSS, or similar standards
● Strong understanding of data governance concepts relevant to AI systems, including
training data lineage, data retention, model output handling, and human oversight
requirements
● Experience supporting regulatory readiness or compliance efforts related to AI systems
● Proven ability to collaborate with engineering and security teams to validate control
implementation and remediation
● Bachelor’s degree in Information Security, Computer Science, Business Risk, Compliance,
or a related field,
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